• Journal of the Korean housing association
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• v.26 no.5
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• pp.45-52
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• 2015

Following natural disasters, there is a need to develop temporary housing through the rapid installation of mass-produced prefabricated housing. This study has developed a model construction manual for prefabricated temporary housing installable in underground spaces. First, the temporary housing prototype was drawn based on opinion poll results from earlier studies. $4.32m^2$ was calculated as the basic unit of the temporary housing living space for one person. Units included panel type, box type and mixed-type, for a variety of field conditions and scales. In order to enable space expansion and movement desirable to the user, the prototype was combination of panel and box types. The drawn prototype was utilized as the basic design template for producing prototypes and for the manual. Second, the possibility of utilizing subway stations as temporary housing was verified through the production of the prototype, and the construction process was summarized in the manual. The manual was developed in the form of a checklist to provide a guideline for users to build with prefab materials.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.928-931
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• 2014

The detection of human behavior from social media revolutionized health, business, criminal and political prediction. Significance of it, in incentive transformation of public opinion had already proven for developed countries in improving democratic process of elections. In $3^{rd}$ World countries, voters poll votes for personal interests being unaware of party manifesto or national interest. These issues can be addressed by social media, resulting as ongoing process of improvement for presently adopted electoral procedures. On the optimistic side, people of such countries applied social media to garner support and campaign for political parties in General Elections. Political leaders, parties, and people empowered themselves with social media, in disseminating party's agenda and advocacy of party's ideology on social media without much campaigning cost. To study effectiveness of social media inferred from individual's political behavior, large scale analysis, sentiment detection & tweet classification was done in order to classify, predict and forecast election results. The experimental results depicts that social media content can be used as an effective indicator for capturing political behaviors of different parties positive, negative and neutral behavior of the party followers as well as party campaign impact can be predicted from the analysis.

• Korean journal of food and cookery science
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• v.29 no.1
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• pp.37-46
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• 2013

This research was investigated the problem of power blogs related to cooking through the investigation of usage and satisfaction of those blogs as new information media in internet community. As a result, most users had were received cooking information through internet and 85.7% of those users have experienced power blogs related to cooking. The most frequent access methods were via search engines. What users are received from power blogs related to cooking are cooking recipes. What did they want the most from those blogs are accurate recipes for everyday meal. According to this opinion poll, majority of respondents were collected cooking information through internet and experience more and more power blogs related to cooking, whereas users lost their satisfaction and belief from power blogs when there was a lack of enough information on power blogs, an inaccuracy of the information from the power blogs, or an extraordinary recipes. To improve power blogs related to cooking, not only various cooking information but also everyday cooking recipes were required, but power bloggers should also consider everyday cooking materials and recipes with simple cooking utensils.

• Korean Journal of Legislative Studies
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• v.25 no.1
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• pp.5-44
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• 2019

The 2018 midterm elections were considered a referendum for Trump Presidency, especially because Latino community has been feeling that the anti-immigration, anti-Latino policies of Trump administration are harmful to the community. News Media and pundits predicted the boost of the Latino turnout and its positive effects on Democratic candidates at all levels. The purpose of this paper is to provide an overview of Latino demographics and Latino public opinion and to analyze the election results with exit poll data and actual aggregate data. The data analysis shows that, compared to 2014 midterm elections, Latino turnout and the support for Democratic candidates actually increased in most counties and precincts, which is more salient in the areas with heavy Latino concentration.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5C
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• pp.171-185
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• 2011

Ready-mixed shotcrete that mixed with high quality aggregate and can improve construction quality is produced in a dry mortar plant and transported to construction sites. Because of using aggregate that produced in a special plant, Ready-mixed shotcrete has many advantages : good grain-size distribution, minimum stone powder, high quality and standardization material, etc. In this basic study different from the existing study that limited to additive and accelerator, the improvement of aggregate quality was tried to upgrade the shotcrete performance. The investigation about the construction conditions of shotcrete was performed and the result of an opinion poll was analyzed for a good grasp of the problems in domestic shotcrete quality. Pilot Plant Test was also performed to minimize the material segregation in plant manufacturing process. In additions, the field test was performed to find the optimum contents of synthetic fiber, appearing the same flexible toughness with that of steel fiber, and to find the optimum replacement ratio of blast furnace slag.

• Survey Research
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• v.4 no.1
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• pp.1-29
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• 2003

Telephone surveys miss, among other people, those who live in homes without telephones, people who are away from home at the time of interview and people who refuse to be interviewed. Recently, mobile phone survey has emerged as “A replacement technology” to the old telephone survey method. Mobile survey enables us to do many things we could not do or could not afford to do before, and reatly enhance the efficiency if the opinion surveys. Very specifically, the mobile survey enables us to control respondent's accessability, interviewer bias and to do incredibly fast and at a affordable costs. The authors analyze the results of mobile-phone local election polls and ELSI bio-technology attitude survey. The authors describe their results, the methods they used, including the use of demographic and propensity weighting to correct for substantial biases in the raw, unweighted data. The results show that mobile survey can predict the election outcomes with approximately equal accuracy to that of the telephone poll after weighting. This paper also cautions readers not to assume that mobile survey can be used with equal success in other elections and emphasizes the need for continuing research to improve mobile survey methods in the future.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1229-1234
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• 2009

The rolling stocks of KORAIL are KTX, Saemaulho Multiple Unit(PP), New Electrical Locomotive(DL), Electrical Locomotive(EL), Diesel Locomotive, Metropolitan Commuter Train(CDC), VVVF and Resistance Controlled Multiple Unit, etc. EMU with the maximum speed of 150km/h is under the test run at the moment. Electrical Multiple Units for mainlines with 180km/h speed are supposed to be introduced as a substitute for Saemaulho Multiple Unit which is scheduled to be out of service. But the specification standard for the control board design of train driver's cab does not exist and there is no a study for layout and type of controlling device with driver's ergonomical approach. That's why the types of controller and operating are different from rolling stocks, which has high possibility of driver's human error and needs education whenever a new car comes in. Based on the opinion poll of drivers, design specification of safety engineering and ergonomics for controlling devices and safety facilities can improve exact control for devices and deal quickly with an emergency so as to improve rolling stock safety and operational efficiency.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.1
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• pp.141-156
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• 2020

Differential privacy, which used to collect and analysis data and preserve data privacy, has been applied widely in data privacy preserving data application. Local differential privacy algorithm which is the local model of differential privacy is used to user who add noise to his data himself with randomized response by self and release his own data. So, user can be preserved his data privacy and data analyst can make a statistical useful data by collected many data. Local differential privacy method has been used by global companies which are Google, Apple and Microsoft to collect and analyze data from users. In this paper, we compare and analyze the local differential privacy methods which used in practically. And then, we study applicability that applying the local differential privacy method in survey or opinion poll scenario in practically.

• Survey Research
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• v.12 no.1
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• pp.153-174
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• 2011

This research aims to discuss the causes of inaccuracy in public opinion polls currently conducted in Korea. In particular, identifying the problems in sampling frame and sampling methods in political and social public opinion polls is an important question. Currently, most polling organizations operating in Korea are using phone number directories provided by Korea Telecom(KT) as its sampling frame for conducting most political polls. A critical problem of using a phone number directory as a sampling frame is that unlisted phone numbers can never be included in the sample. If a systematic difference in socio-demographic or politico-economic characteristics exists between the listed number using group and the unlisted group, using a phone number directory as a sampling frame cannot produce a sample that can represent the whole adult population in Korea. According to the poll result commissioned by the Asan Institute for Policy Studies in January 2011, there are statistically significant differences in socio-demographic and politico-economic characteristics between those two groups, and those differences led to the differences in the presidential job approval rating and party support. Our findings include that the listed number using group is more pro-Grand National Party and show stronger support for the president than the unlisted group.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.